Biology subjects

Narechania, A.

Publications and source records attributed to Narechania, A..

7 recordsLinked to original sources

bioRxiv2025

The effect of different milk pretreatment methods on microbiome community development during Herrgards cheese production and ripening.

One of the biggest challenges for dairy producers is the substantial variability in final product properties caused by changes in the production environment. In cheese production, this variation is influenced by several factors, particularly the milk base and its pretreatment, which shape the microbiome throughout the process and ultimately affect the cheeses organoleptic characteristics. To examine the impact of three different pre-treatments for pasteurised milk-- microfiltration, protein fortification, and only pasteurisation (control)-- on microbiome dynamics, we generated metagenome sequencing data from 14 cheese production steps across these three production trials at a Danish dairy factory. We constructed three metagenomic co-assemblies, identifying nine high-quality metagenome-assembled genomes (MAGs). Our analysis revealed that a specific strain of Lactococcus lactis dominates the process, while other minor bacterial species persist at very low abundances (<1%), contributing non-negligibly to product properties. Notably, Clostridium tyrobutyricum, a known dairy spoilage bacterium, was present at low levels in pasteurised-only and protein-fortified milk trials but was nearly absent in microfiltered milk. To enhance our analyses, we implemented KHILL, a novel k-mer-based method applied directly to raw sequencing reads, which facilitates metagenomic co-assembly and enables early detection of unwanted microorganisms. Our findings provide industrial dairy producers with a comprehensive view of microbial dynamics during cheese production, offering insights to improve process consistency and product quality.

microbiology↗

bioRxiv2025

The information content of species: formal definitions of pangenome complexity track with bacterial lifestyle

Genes and other genomic elements have variable presence absence patterns across most bacterial species. Pangenome fluidity is often invoked to measure this genome flux. Fluid pangenomes contain genes found only in subsets of species strains. Tighter pangenomes contain more genes that define a shared core. Species definitions are often tied to this pangenome diversity. In any global comparative framework, pangenomes must be calculated across all known species. But defining pangenomes is fraught with computational and biological challenges, requiring assembly, annotation, alignment, and phylogenetics of millions of orthologs. We offer an alternate view that de-centers the gene and emphasizes the raw information content of sequences. Information is data that reduces uncertainty. Tight pangenomes, with elements repeated across every strain in a species ensemble, contain more complete information. In contrast, fluid pangenomes have more uncertainty, higher complexity, and higher information diversity. Bacterial lifestyle has been shown to drive this information diversity. For example, challenging environments often increase information diversity by encouraging the accrual of auxiliary genes. Here, we employ agile complexity metrics to quantify this increase. Ensembles of free-living, motile, and non-pathogenic species have high genomic complexity. Ensemble complexity decreases in species bound to specific hosts. Because we eliminate annotation and alignment, our method is fast enough to evaluate species across all known bacterial genomes. The approach democratizes classification and our results highlight how broad the term "species" has become.

genomics↗

bioRxiv2023

High quality genome and transcriptome data for two new species of Mantamonas, a deep-branching eukaryote clade

Mantamonads were long considered to represent an "orphan" lineage in the tree of eukaryotes, likely branching near the most frequently assumed position for the root of eukaryotes. Recent phylogenomic analyses have placed them as part of the "CRuMs" supergroup, along with collodictyonids and rigifilids. This supergroup appears to branch at the base of Amorphea, making it of special importance for understanding the deep evolutionary history of eukaryotes. However, the lack of representative species and complete genomic data associated with them has hampered the investigation of their biology and evolution. Here, we isolated and described two new species of mantamonads, Mantamonas vickermani sp. nov. and Mantamonas sphyraenae sp. nov., for each of which we generated transcriptomic sequence data, as well as a high-quality genome for the latter. The estimated size of the M. sphyraenae genome is 25 Mb; our de novo assembly appears to be highly contiguous and complete with 9,416 predicted protein-coding genes. This near-chromosome-scale genome assembly is the first described for the CRuMs supergroup.

genomics↗

bioRxiv2021

What do we gain when tolerating loss? The information bottleneck, lossy compression, and detecting horizontal gene transfer

Most microbes have the capacity to acquire genetic material from their environment. Recombination of foreign DNA yields genomes that are, at least in part, incongruent with the vertical history of their species. Dominant approaches for detecting these transfers are phylogenetic, requiring a painstaking series of analyses including alignment and phylogenetic tree reconstruction. These traditional pan-genomic methods do not scale. Here we propose an unsupervised, alignment-free and tree-free technique based on the sequential information bottleneck (SIB), an optimization procedure designed to extract some portion of relevant information from one random variable conditioned on another. In our case, this joint probability distribution tabulates occurrence counts of k-mers against their genomes of origin with the expectation that recombination will create a strong signal that unifies certain sets of co-occuring k-mers. We conceptualize the technique as a rate-distortion problem, measuring distortion in the relevance information as k-mers are compressed into clusters based on their co-occurrence in the source genomes. The result is fast, model-free, lossy compression of k-mers into groups that learns tracts of shared genome sequence differentiating recombined elements from the vertically inherited core. We show that the technique yields a new recombination measure based purely on information, divorced from any biases and limitations inherent to alignment and phylogeny. SignificanceThe information bottleneck, a lossy compression technique borrowed from the information theoretic and Natural Langauge Processing literature, is well suited to detecting evolutionary patterns in sets of co-occuring k-mers. Here we show that we can detect simulated and real recombination events while highlighting a core set of k-mers that comprise the vertically inherited portion of any set of genomes. Moreover, the compressibility of any given set of genomes offers a new way to compare the pangenomes of clades across the microbial tree of life. In our application, the bottleneck is informed by genome origin, our relevance variable, but the technique is general. The information bottleneck can be used for any biological contingency matrix where the goal is to learn groups from unstructured data.

evolutionary biology↗

bioRxiv2019

Genomic epidemiology of vancomycin 1 resistant Enterococcus faecium (VREfm) in Latin America: Revisiting the global VRE population structure

The prevalence of vancomycin-resistant Enterococcus faecium varies across geographical regions yet little is known about its population structure in Latin America. Here, we provide a complete genomic characterization of 55 representative Latin American VREfm recovered from 1998-2015 in 5 countries. We found that VREfm population in the region is structured into two main clinical clades without geographical clustering. To place our regional findings in context, we reconstructed the global population structure of VREfm by including 285 genomes from 36 countries from 1946-2017. Our results differ from previous studies showing an early branching of animal related isolates and a further split of clinical isolates into two sub-clades, all within clade A. The overall phylogenomic structure was highly dependent on recombination (54% of the genome) and the split between clades A and B is estimated to have occurred more than 3585 years BP. Furthermore, while the branching of animal isolates and clinical clades was predicted to have occur [~]894 years BP, our molecular clock calculations suggest that the split within the clinical clade occurred around [~]371 years BP. By including isolates from Latin America, we present novel insights into the population structure of VREfm and revisit the evolution of this pathogen.

microbiology↗

bioRxiv2019

Genomic variant identification methods alter Mycobacterium tuberculosis transmission inference

Pathogen genomic data are increasingly used to characterize global and local transmission patterns of important human pathogens and to inform public health interventions. Yet there is no current consensus on how to measure genomic variation. We investigated the effects of variant identification approaches on transmission inferences for M. tuberculosis by comparing variants identified by five different groups in the same sequence data from a clonal outbreak. We then measured the performance of commonly used variant calling approaches in recovering variation in a simulated tuberculosis outbreak and tested the effect of applying increasingly stringent filters on transmission inferences and phylogenies. We found that variant calling approaches used by different groups do not recover consistent sets of variants, often leading to conflicting transmission inferences. Further, performance in recovering true outbreak variation varied widely across approaches. Finally, stringent filters rapidly eroded the accuracy of transmission inferences and quality of phylogenies reconstructed from outbreak variation. We conclude that measurements of genetic distance and phylogenetic structure are dependent on variant calling approach. Variant calling algorithms trained upon true sequence data outperform other approaches and enable inclusion of repetitive regions typically excluded from genomic epidemiology studies, maximizing the information gleaned from outbreak genomes.

genomics↗

bioRxiv2018

Mobile genetic element-encoded hypertolerance to copper protects Staphylococcus aureus from killing by host phagocytes

Pathogens are exposed to toxic levels of copper during infection and copper tolerance may be a general virulence mechanism used by bacteria to resist host defences. In support of this, inactivation of copper-exporter genes has been found to reduce the virulence of bacterial pathogens in vivo. Here we investigate the role of copper-hypertolerance in methicillin resistant Staphylococcus aureus. We show that a copper-hypertolerance locus (copB-mco), carried on a mobile genetic element, is prevalent in a collection of invasive S. aureus strains and more widely among clonal complex 22, 30 and 398 strains. The copB and mco genes encode a copper efflux pump and a multicopper oxidase, respectively. Isogenic mutants lacking copB or mco had impaired growth in subinhibitory concentrations of copper. Transfer of a copB-mco encoding plasmid to a naive clinical isolate resulted in a gain of copper hypertolerance and enhanced bacterial survival inside primed macrophages. The copB and mco genes were upregulated within infected macrophages and their expression was dependent on the copper sensitive operon repressor CsoR. Isogenic copB and mco mutants were impaired in their ability to persist intracellularly in macrophages and were less resistant to phagocytic killing in human blood than the parent strain. The importance of copper-regulated genes in resistance to phagocytic killing was further elaborated using mutants expressing a copper-insensitive variant of CsoR. Our findings suggest that the gain of mobile genetic elements carrying copper-hypertolerance genes contributes to the evolution of virulent strains of S. aureus, better equipped to resist killing by host immune cells.

microbiology↗